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Short-Time Fourier Transform is an analysis tool that repeatedly applies the Discrete Fourier Transform (DFT or FFT) to short segments of a longer signal, while sliding the window that selects the segment of the longer signal that the STFT operates on. The STFT is a function of two independent variables, frequency in the DFT and the time of the center of the sliding window.
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Is the STFT a good solution to guitar monophonic pitch detection?
Let’s assume that the audio input will be:
Guitar audio
Monophonic audio
Is the STFT overkill? Is it enough to produce a time-frequency plot and from there find the notes played at each instance? …
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Octave error - STFT parameters when detecting pitch in guitar audio signals
When I ran the STFT with 40000 as a sampling rate, there was an octave error in all of them. The notes detected were A3, A#3 and B3. … I though I should see why this happens and I went in my STFT, and printed, for each note played, the 5 strongest bins in terms of magnitude. …
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Guitar fundamental frequency vs pitch
To generate the spectrogram, I use a STFT taken from the Librosa library:
import plot as plt
def transcribe(filename):
y, sr = librosa.load(filename, sr=40000)
D = librosa.stft(y)
plt.plot_spectrogram …